KS
Killer-Skills

workflow — Categories.community

v1.0.0
GitHub

About this Skill

Ideal for Automation Agents requiring seamless OpenSpec file management and Git integration. OpenSpec files for shelffiles

impactaky impactaky
[0]
[0]
Updated: 3/5/2026

Quality Score

Top 5%
18
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add impactaky/shelffiles-spec

Agent Capability Analysis

The workflow MCP Server by impactaky is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion.

Ideal Agent Persona

Ideal for Automation Agents requiring seamless OpenSpec file management and Git integration.

Core Value

Empowers agents to automate OpenSpec proposal generation, application, and archiving with self-review and Git commits using $openspec-proposal, $openspec-apply, and $openspec-archive skills, ensuring continuous workflow without human interaction.

Capabilities Granted for workflow MCP Server

Automating OpenSpec proposal generation with feature descriptions
Streamlining OpenSpec file management through archiving and self-review
Integrating Git commits for version control at each workflow stage

! Prerequisites & Limits

  • Requires OpenSpec files and skills ($openspec-proposal, $openspec-apply, $openspec-archive)
  • Needs Git setup for commit integration
  • Designed for automation, minimizing human interaction
Project
SKILL.md
1.2 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

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SKILL.md
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Automation Workflow with OpenSpec

Automated workflow that chains $openspec-proposal, $openspec-apply, and $openspec-archive with self-review and git commits at each stage. Since this is an automation flow, you must run without human interaction as much as possible.

Workflow

Execute these steps in order:

1. Generate Proposal

  • Run the $openspec-proposal skill with the user's feature description
  • Self-review the generated proposal for completeness and correctness
  • If issues found, iterate on the proposal

2. Commit Proposal

Commit with -m "openspec:proposal for <feature>" This creates a checkpoint. User can revert here if implementation is not satisfactory. So you can go to next step without confirmation.

3. Apply Implementation

  • Run the $openspec-apply skill to implement the proposal
  • Self-review the implementation

4. Run Lint & Test

Confirm both lint and test pass.

If they fail, fix issues and run lint and test again until they pass.

5. Commit Implementation

Commit with -m "openspec:apply for <feature>"

6. Archive Spec

  • Run the $openspec-archive skill to archive the completed spec

7. Commit Archive

Commit with -m "openspec:archive"

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